Student Assistant Deep Learning

Student Assistant Deep Learning

Job Description:

Join our innovative research institution where you will gain exclusive insights into the realms of science and research. This role will immerse you in the cutting-edge field of deep learning, where you will work alongside a dedicated team committed to transforming ideas into industry-leading solutions. Your contributions will span from the creation of data labels, such as segmentation masks, to training advanced deep learning models and performing model compression for use in embedded systems. You will also engage in data analysis and explore various data augmentation techniques, all while documenting and presenting your findings to both internal and external stakeholders. This is an exciting opportunity to be part of a dynamic research environment that values creativity and innovation.

IT Languages:

• Python
• C++
• TensorFlow
• PyTorch

As a student assistant, you will be engaged in various tasks that enhance your learning and contribute to our research projects.:

Creation of labels for data, including segmentation masks.;; Training of deep learning models to improve accuracy and efficiency.;; Model compression techniques for deployment on embedded devices.;; Conducting data analysis to derive meaningful insights.;; Investigation of data augmentation techniques to improve model performance.;; Documentation and presentation of results for both internal reviews and external stakeholders.

Spoken Languages:

• English;; German

Skillset:

• Deep Learning
• Data Analysis
• Model Compression
• Data Augmentation
• Programming

Soft Skills:

• Proactive
• Team-oriented
• Self-motivated
• Reliable

Qualifications:

• Currently enrolled in a Bachelor's or Master's program in Computer Science, Applied AI, Embedded Systems, Media Informatics, or comparable engineering fields.
• Strong understanding of technical concepts related to deep learning and data analysis.

Years of Experience:

1

Location:

Europe

Job Benefits:

• Innovative working environment with modern research facilities.
• Career opportunities during and after studies.
• Flexible working hours and the possibility to work partially from home.
• Professional development and training opportunities.
• Health programs participation and team events.
• Meal subsidies in the cafeteria.
• Monthly transportation allowance for public transit.

Working Conditions:

Full Time

Employment Type:

Internship

Company Culture:

• The company fosters a collaborative and innovative culture that encourages research and development. Employees are supported in their professional growth through mentorship and various training programs, while also enjoying a balanced work-life experience.

Opportunities For Advancement:

• Possibility of transitioning into a full-time role post-internship., Opportunities for further academic collaboration and research., Potential involvement in industry projects.

Visa Sponsorship:

Available